Scanning tunneling microscopy of Ni deposited on Au(l 11) at room temperature reveals strikingly ordered island nucleation. Ni islands grow with spacing 73 A along [121] in rows 140 A apart at surfacelattice dislocations induced by the Au(lll) "herringbone'* reconstruction. The island arrays are explained by a model in which Ni atoms diffuse on the surface and aggregate at these dislocations. Island size varies by more than the shot-noise limit, suggesting that the initial sticking probability is low when a diffusing atom encounters a dislocation.
The scanning tunneling microscope reveals that Ni deposited on Au(111) at room temperature forms regular arrays of two-dimensional islands. The islands grow with spacing 73 Å in rows 140 Å apart at sites determined by the Au(111) ‘‘herringbone’’ reconstruction. This nucleation at evenly spaced sites yields islands with a narrow size distribution. The apparent Ni island height (1.9 Å) is bias-independent and agrees with a hard-sphere model of pseudomorphic Ni/Au(111). The behavior of Ni is contrasted with Au deposited on Au(111), for which far fewer islands are formed.
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Current data centers require storage capacities of hundreds of terabytes to petabytes. Time-critical applications such as on-line transaction processing depend on getting adequate performance from the storage subsystem; otherwise, they fail. It is difficult to provide predictable quality of service at this level of complexity, because I/O workloads are extremely variable and device behavior is poorly understood. Ensuring that unrelated but competing workloads do not affect each other's performance is still more difficult, and equally necessary. We present SLEDS, a distributed controller that provides statistical performance guarantees on a storage system built from commodity components. SLEDS can adaptively handle unpredictable workload variations so that each client continues to get the performance it needs even in the presence of misbehaving, competing peers. After evaluating SLEDS on a heterogeneous mid-range storage system, we found that it is vastly superior to the raw system in its ability to provide performance guarantees, while only introducing a negligible overhead.
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